Minute Madness Competition

The Computer Laboratory is celebrating the 10th anniversary of women@CL on Wednesday 14th
May, 2014. This event will celebrate the initiatives run by women@CL, and
showcase the variety of cutting edge research that women are doing,
culminating with the Annual Distinguished Departmental Wheeler Lecture
given by Jeannette Wing, Corporate Vice President of Microsoft
Research.

The idea for the Minute Madness presentations is that speakers present in 60 seconds the essence of their research, and they can only use 1 slide. This will then lead to further informal discussions and
networking during the break sessions.

What we would like the speakers to convey is:

"What is the question that you are addressing in your research and why?"

There will be prizes for 3 different categories for junior researchers (PhDs and Post-docs): the most effective, the most inspiring and the most entertaining presentation. The prize for each winner will be iPad Air. There will be a token prize for best presentation by a senior researcher.

First Session (LT1, 14:00)1. Zhen Bai, University of Cambridge Augmented Reality Interfaces for Symbolic Play Tweet: Based on the analogy between AR and symbolic play, I developed AR interfaces to promote symbolic play for young children with autism. Click to see the slide
2. Ntombi Banda, University of Cambridge Multimodal Emotion Recognition in Learning Environments Tweet: From human tutors to intelligent tutors: Making computers recognize
emotions to increase learning performance and student confidence. Click to see the slide
3. Shima Barakat, JBS Making the WISE more Enterprising Tweet: To DO it you need: to WANT to do it AND believe that you CAN do it. The WISE feel less confident about being enterprising. Should we care?! Click to see the slide
4. Polina Bayvel, UCL Redefining the capacity limits in the battle for bandwidth Tweet: Optical fibres carry over 95% of all data! But are they running out of capacity as they struggle to satisfy the ever growing data demands? Click to see the slide
5. Agata Brajdic, University of Cambridge VapourTrail: Infrastructure-free Indoor Localisation with Smartphones Tweet: Tracking people inside buildings using only #smartphone #inertial sensors. Click to see the slide
6. Satinder Gill, University of Cambridge Entrainment and Musicality in the Human-System Interface Tweet: Being social is about being in rhythm, about co-adapting (entraining) to
each other’s beats: important for designing mediating and collaborative
interfaces. Click to see the slide
7. Desi Hristova, University of Cambridge Multilayer Geo-Social Networks Tweet: The New Age of Dimensional Geo-social Networks: using multiple information layers to explain how people and places are entangled. Click to see the slide
8. Zongyan Huang, University of Cambridge Applying machine learning to choose the variable ordering for cylindrical algebraic decomposition Tweet: Machine learning was applied to predict which heuristic (sotd, ndrr, Brown) would give an optimal variable ordering for cylindrical algebraic decomposition. Click to see the slide
9. Alice Hutchings, University of Cambridge Clean socks and fresh fullz Tweet: Understanding, and developing disruption and prevention initiatives for,
online black market economies. Click to see the slide
10. Vaiva Imbrasaite, University of Cambridge Emotion in music Tweet: Click to see the slide
11. Mateja Jamnik, University of Cambridge Humanising Computer Problem Solving Tweet: Can computers use human intuitive methods, like manipulating diagrams, to solve problems in the same way? Click to see the slide
12. Georgia Kalogeridou, University of Cambridge NetFPGA, The Flexible Open-Source Networking Platform Tweet: NetFPGA is a flexible, low cost and open source platform, able to measure system's performance and/ or prototype networking systems. It is suitable for research and teaching purposes. Click to see the slide
13. Sheharbano Khattak, University of Cambridge The impact of Internet censorship on the Internet ecosystem Tweet: Landing on a censorship block page has deeper implications than spoiling your mood--I investigate some of these from an ISP's perspective. Click to see the slide
14. Ekaterina Kochmar, University of Cambridge When Writing Matters Tweet: When you want your writing to be clear and reach the audience. Click to see the slide
15. Dina Kronhaus, University of Cambridge Brain the size of a planet or How to depress a brain network (in 60 seconds or less) Tweet: I’m interested in computational neuropsychiatry. Using Artificial Neural
Networks, I study neural dynamics in unipolar and bipolar disorders. Click to see the slide
16. Agnieszka Madurska, Google Tech and culture Tweet: How can we use technology to preserve cultural heritage and make it universally accessible to everyone across the globe? Click to see the slide
17. Cecilia Mascolo, University of Cambridge Would you use your phone as medicine? Tweet: Would you use your phone as medicine? Making mobile phone sensing work for health applications. by @cecim powered by @EmotionSense Click to see the slide
18. Natasa Milic-Frayling, Microsoft Research Sustaining the life of digital Tweet: To prolong life of digital, one has to preserve software. Cloud is ideal, with VMs to host legacy software and convert file formats. Click to see the slide
19. Negar Miralaei, University of Cambridge Prevent Ageing, Delay Wear-out Tweet: Ever-increasing budget of transistors threatens multicore chip's
lifetime. We are looking for ways to keep them young. Click to see the slide
20. Emma Towlson, University of Cambridge How 'rich' is your brain? Tweet: Using networks to probe brain disorders, their treatment and ones cognitive ability Click to see the slide
21. Cecily Morrison, Microsoft Research ASSESS MS: Supporting the Clinical Assessment of Multiple Sclerosis using Kinect Tweet: ASSESS MS is a system to support the clinical assessment of Multiple Sclerosis by quantifying motor dysfunction using computer vision. Click to see the slide

Second Session (LT1, 15:00)22. Ulku Buket Nazlican, University of Cambridge Facebook Privacy Settings Tweet: Do you think that your privacy is at risk on Facebook, but feel lazy to deal with it? This app aims to suggest your custom privacy settings. Click to see the slide
23. Annalisa Occhipinti, University of Cambridge Can a Mathematician help a Doctor? Tweet: Mathematics is the only size fitting all the disciplines: from Cancer to Equations. Click to see the slide
24. Helen Oliver, University of Cambridge The HAT Project Tweet: The Hub of All Things: Keep It Under Your HAT Click to see the slide
25. Rosemary Francis, Ellexus Breeze: Application Deployment and Profiling for Linux Tweet: Rosemary is the founder of Ellexus who make software tools to solve the problems that arise when deploying and tuning Linux applications. Click to see the slide
26. Jeunese Payne, University of Cambridge Pico: No More Rejection Tweet: We have a bad relationship with passwords. But can we do better? Are we ready to put our trust in something we have rather than something we know? Click to see the slide
27. Flora Ponjou Tasse, University of Cambridge Partial 3D Shape Retrieval Tweet: I investigate the retrieval of 3D shapes most similar to a depth image, that can be obtained with a low-cost depth camera like the Kinect. Click to see the slide
28. Sriipriya G, DRisQ Software systems Using programming abstractions to engineer parallel mechanised reasoning systems/theorem provers Tweet: Using programming abstractions to engineer parallel theorem provers: Enabling programmable parallelisation for theorem provers. Click to see the slide
29. Naruemon Pratanwanich, University of Cambridge Drug Recycling Tweet: Developing novel probabilistic models to uncover biological mechanisms underlying drug-disease interactions for recycling the existing drugs. Click to see the slide
30. Sophie van der Zee, University of Cambridge Optimal gaming performance: Does drunk-driving also increase accident rates when playing computer games? Tweet: People lie. I try to gain an insight in why and when people choose to lie, and if they decide to do so, ways to detect these lies. Click to see the slide
31. Jingjing Shen, University of Cambridge Watertight Shape Modelling Tweet: To address the unavoidable gaps problem of NURBS modelling in CAD industry,
we propose a solution to achieve watertight models. Click to see the slide
32. Arabella Sinclair, University of Cambridge Discourse Structure in Narrative Texts Tweet: If characters lead plots, let's follow lead characters: Developing summarisation techniques for discourse, narrative and unstuctured text. Click to see the slide
33. Simone Teufel, University of Cambridge Finding Discourse Structure in Unstructured Texts Tweet: When people create scientific arguments, they leave surface traces in the text, which can be traced computationally for language understanding. Click to see the slide
34. Theodosia Togia, University of Cambridge What lies beneath the tag cloud? Tweet: Converting raw keywords to phrases by uncovering lost social meaning Click to see the slide
35. Tamara Polajnar, University of Cambridge Making Sense of Sentences Tweet: Compositional distributional semantics: because 'monster eats girl'
doesn't mean the same as 'girl eats monster', so monsters beware ... Click to see the slide
36. Eva Vecchi, University of Cambridge Computational Nonsense Tweet: Accepting that "one-eyed, one-horned flying purple people eater" is ok, but "academic bladder" is not. Click to see the slide
37. Petra Vertes, University of Cambridge A network of network scientists Tweet: Introducing the Cambridge Networks Network (CNN): 400 members, over 25 departments, applying Network Science in their research. Join us. Click to see the slide
38. Helen Yannakoudakis, University of Cambridge Write & Improve! A tool for automated writing feedback Tweet: You think your English 'is not very well'? Then try out Write & Improve, a free tool that gives you feedback on your writing in seconds! Click to see the slide
39. Eiko Yoneki, University of Cambridge Massive Graph Data Processing with a Laptop: Google needs terabytes of RAM,
but we don't! Tweet: Can you run massive graph processing without large memory on your laptop?
Understanding irregular graph computation and data access patterns will make
it possible! Click to see the slide
40. Yoli Shavit, University of Cambridge Tools for exploring the 3D genome Tweet: High throughput data on the 3D genome are now available. We develop the tools for transforming them into spatial and mechanical models. Click to see the slide
41. Noa Zilberman, University of Cambridge NetFPGA SUME: Making 100Gb/s a Research Commodity Tweet: NetFPGA SUME is an open source hardware platform with I/O capabilities in excess of 100Gb/s for end-host and switch research, novel interconnect architectures or formidable stand-alone platforms. Click to see the slide